Salesforce announced a complete AI-augmented platform built specifically for financial institutions, offering wealth managers and bankers AI-powered insights and recommendations that will help grow their book of business and deepen client relationships.

In this contributed article, Hassan Mohamed, a London-based analyst specializing in financial operations and credit management in EU markets, explains where to hit in any organisation in order to monetize big data with an action plan. Also included is a comparison between 3 Vs and 5 Vs, a discussion of how to improve performance in any corporate department using big data, unquestioned answers about big data, and a clear action plan to monetize big data and gain the most of it.

The proven field of AI and machine learning for anti-money laundering (AML) is the only technology that can effectively improve financial crime investigations, scale to the volume and velocity of the modern financial system, and counter criminals’ evolving approaches to money laundering. QuantaVerse published a new paper that examines how financial institutions can apply AI […]

In today’s technologically advancing world, traditional banking groups are being seriously challenged. As Google, Amazon, Facebook, Apple offer more and more banking services and financial technology startups gain traction, the banking industry must take a look at how it can stay competitive. To do this, banking needs to rely on data science.

Financial Risk Analytics has evolved beyond a secondary regulatory and cost-focused perspective, to become a core part of businesses. Today, Risk Analytics provides a competitive edge by enabling businesses to efficiently use capital and manage risk exposures with higher confidence to make better informed and timelier business decisions. Hence CEOs increasingly rely on their CFOs and their Chief Risk Officers (CROs) for strategic advice and active risk management.

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In this special guest feature, Brian D’alessandro, Director of Data Science at SparkBeyond, discusses how AI is a learning curve, and exploring opportunities within the technology further extends its potential to enable transformation and generate impact. It can shape workflows to drive efficiency and growth opportunities, while automating other workflows and create new business models. While AI empowers us with the ability to predict the future — we have the opportunity to change it. [READ MORE…]

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Databricks Unified Analytics Platform is a cloud-service designed to provide you with ready-to-use clusters that can handle all analytics processes in one place, from data preparation to model building and serving, with virtually no limit so that you can scale resources as needed. Download the new guide that walks readers through four practical end-to-end Machine Learning use cases on Databricks.